Cognitive Systems, Interaction, Robotics
Handling with the efficiency of humans
Today’s robots are unable to achieve a high level of dexterous and fine manipulation, especially when this requires in-hand manipulation. The HANDLE project aims at understanding how humans perform the manipulation of objects in order to replicate grasping and skilled in-hand movements with an anthropomorphic artificial hand, and thereby move robot grippers from current best practice towards more autonomous, natural and effective articulated hands. The goal is to endow the proposed robotic hand with advanced perception capabilities, high level feedback control and elements of intelligence that allow recognition of objects and context, reasoning about actions and a high degree of recovery from failure during the execution of dexterous tasks.
Fields of science
Call for proposal
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Funding SchemeCP - Collaborative project (generic)